Method and apparatus for an ai-assisted virtual assistant

Abstract

Provided is a method for generating a personalized content suggestion in response to a query from a user. The method may be performed by a system comprising one or more processors. The method may include receiving the query from the user, generating one or more user parameters associated with the user, determining a predicted content topic of the query, and generating the content suggestion based on the predicted content topic and the one or more user parameters.

1 . A method for generating a personalized content suggestion in response to a query from a user, wherein the method is performed by a system comprising one or more processors, the method comprising:
 receiving the query from the user;   generating one or more user parameters associated with the user;   determining a predicted content topic of the query; and   generating the content suggestion based on the predicted content topic and the one or more user parameters.   
     
     
         2 . The method of  claim 1 , comprising revising the query. 
     
     
         3 . The method of  claim 2 , wherein revising the query comprises:
 providing a scoping prompt to the user;   receiving a scoping response from the user in response to providing the scoping prompt to the user; and   revising the query based on the scoping response.   
     
     
         4 . The method of  claim 1 , wherein revising the query comprises:
 providing one or more topic suggestions to the user;   receiving a selected content topic of one or more potential content topics in response to providing the one or more topic suggestions to the user; and   revising the query based on the selected content topic.   
     
     
         5 . The method of  claim 4 , wherein the one or more topic suggestions are generated based on information from a knowledge substrate. 
     
     
         6 . The method of  claim 1 , wherein generating the one or more user parameters comprises:
 providing one or more user context prompts to the user;   receiving one or more user context responses from the user in response to providing the one or more user context prompts to the user; and   generating the one or more user parameters based on the one or more user context responses.   
     
     
         7 . The method of  claim 1 , wherein generating the one or more user parameters comprises analyzing metadata associated with the user. 
     
     
         8 . The method of  claim 7 , wherein the metadata associated with the user comprises one or more of the user's search history, metadata associated with one or more team members on a team with the user, past projects completed by the user, and a job title of the user. 
     
     
         9 . The method of  claim 1 , wherein determining the predicted content topic comprises:
 providing a clarifying prompt to the user;   receiving a clarifying response from the user in response to providing the clarifying prompt to the user; and   determining the predicted content topic based on the clarifying response.   
     
     
         10 . The method of  claim 1 , wherein determining the predicted content topic of the query is based in part on the generated one or more user parameters. 
     
     
         11 . The method of  claim 1 , wherein determining the predicted content topic comprises generating a confidence score corresponding to a level of confidence that the predicted content topic is associated with the query. 
     
     
         12 . The method of  claim 11 , comprising directing the user to a live agent if the confidence score is below a predetermined threshold. 
     
     
         13 . The method of  claim 1 , comprising providing the content suggestion to the user. 
     
     
         14 . The method of  claim 13 , wherein providing the content suggestion to the user comprises providing a link to a content repository comprising data corresponding to the content suggestion. 
     
     
         15 . The method of  claim 13 , wherein providing the content suggestion to the user comprises providing information corresponding to the content suggestion from a content repository directly to the user. 
     
     
         16 . The method of  claim 1 , wherein receiving the query comprises receiving information from the user via one of a voice input, a chat message in a chatbot, and an email. 
     
     
         17 . A system for generating a personalized content suggestion in response to a query from a user, the system comprising one or more processors configured to cause the system to:
 receive the query from the user;   generate one or more user parameters associated with the user;   determine a predicted content topic of the query; and   generate the content suggestion based on the predicted content topic and the one or more user parameters.   
     
     
         18 . A non-transitory computer-readable storage medium storing instructions for generating a personalized content suggestion in response to a query from a user, the instructions configured to be executed by a system comprising one or more processors to cause the system to:
 receive the query from the user;   generate one or more user parameters associated with the user;   determine a predicted content topic of the query; and   generate the content suggestion based on the predicted content topic and the one or more user parameters.